Evidence map›Paper›PMID 39976723›Full record

ReviewJournal of epidemiology and global health2025

Community-Based Surveillance of Acute Flaccid Paralysis: A Review on Detection and Reporting Strategy.

Gelane Biru, Honey Gemechu, Eyerusalem Gebremeskel, Hundessa Daba Nemomssa, Kokeb Dese, Efrem Wakjira, Gashaw Demlew, Dessalew Yohannes, Ketema Lemma Abdi, Hamdia Murad and 11 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of epidemiology and global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Gelane BiruSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Honey GemechuSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Eyerusalem GebremeskelSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Hundessa Daba NemomssaSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Kokeb DeseSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Efrem WakjiraFaculty of Civil and Environmental Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Gashaw DemlewFaculty of Computing and Informatics, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Dessalew YohannesFaculty of Computing and Informatics, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Ketema Lemma AbdiFaculty of Public Health, Department of Reproductive Health, Jimma University, 378, Jimma, Ethiopia.
Hamdia MuradSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia.
Elbetel Taye ZewdeComputer Vision Division, Ethiopian Artificial Intelligence Institute, 40782, Addis Ababa, Ethiopia.
Bontu HabtamuAfrica-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC), Toronto, Canada.
Mesfin TeferaCenter for Public Health Emergency Management (PHEM), Ethiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Mikias AlayuCenter for Public Health Emergency Management (PHEM), Ethiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Netsanet Workneh GidiDepartment of Pediatrics and Child Health, Jimma Institute of Health, Jimma University, 378, Jimma, Ethiopia.
Filimona BisratCORE Group Partners Project, 5674, Addis Ababa, Ethiopia.
Tenager TadesseCORE Group Partners Project, 5674, Addis Ababa, Ethiopia.
Legesse KidanneCORE Group Partners Project, 5674, Addis Ababa, Ethiopia.
Se-Woon ChoeDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi, 39253, Korea.
Jude KongArtificial Intelligence and Mathematical Modeling Lab (AIMMLab), Dalla Lana School of Public Health, University of Toronto, 155 College St Room 500, Toronto, ON, M5T 3M7, Canada. jude.kong@utoronto.ca.
Gelan AyanaSchool of Biomedical Engineering, Jimma Institute of Technology, Jimma University, 378, Jimma, Ethiopia. gelan.ayana@ju.edu.et.

Funding

International Development Research Centre 109981-001
6 · The paper itself

Abstract

Polio is a highly contagious viral disease that primarily affects children under 15, often leading to permanent paralysis, known as acute flaccid paralysis (AFP). AFP surveillance is essential for the eradication of polio, with community-based surveillance (CBS) playing a pivotal role in detecting and reporting cases. CBS improves the timeliness and accuracy of AFP detection, but challenges such as underreporting, delays, and low community awareness persist. Strategies involving use of mobile applications, awareness campaigns, and improvements in healthcare infrastructure were implemented to improve CBS of AFP. While numerous case studies from various countries illustrate the implementation of CBS, a comprehensive synthesis of these studies across diverse contexts is limited. This paper examines state-of-the-art CBS approaches for AFP, analyzing progress, challenges, and potential solutions. A targeted literature review of English-language studies published between 2004 and 2024 was conducted, focusing on the roles of communities, technological integration, and practical recommendations, while excluding studies that lacked methodological rigor or direct relevance. The review revealed that CBS has significantly advanced the global fight against polio by increasing community awareness, enabling earlier detection, and improving the reporting of AFP cases. However, issues such as security concerns, delayed reporting, low levels of community awareness, and underutilization of technology persist. This review recommends strengthening organizational structures, improving healthcare access, raising community awareness, and using technology for more efficient AFP surveillance. The implication of this work is beyond polio as it offers a comprehensive framework for integrating disease surveillance, technology and community involvement to strengthen public health strategies and build robust health systems.

Indexed as

ParalysisPoliomyelitisPopulation SurveillanceDisease NotificationGlobal HealthHumansActive surveillanceAcute flaccid paralysisCommunity-based surveillancePolio

Identifiers

PMID39976723
PMCPMC11842678

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.